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January 27, 2025
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M9 Developer

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Automate 95%+ of dev tasks with AI in your IDE
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Generated by ChatGPT

M9 Developer, developed by Momentum AI, is an AI-powered tool designed to automate various aspects of the software development lifecycle. It can be run on a GPU-enabled notebook, on-premises or as a self-hosted web app, ensuring maximum security and data privacy as all code and data remain within the user's chosen environment.

This tool is capable of automating over 95% of developer tasks within their existing Integrated Development Environment (IDE).M9 Developer's AI is uniquely tailored to a company's specific context and tribal knowledge, including its code and documentation.

It offers code generation, automatic generation of unit and integration tests, secure coding scans and fixes, bug detection and fixes, and code explanation features.

In addition, the AI prompts for implementation based on its understanding of the code context and offers quality checks for potential bugs.Additional features include test case generation, automated code documentation, code quality checks, and security audits for vulnerability scans.

It also provides performance optimization by suggesting code improvements based on analysis.It comes with two modes of operation: active and passive. In the active mode, developers guide the AI by navigating to specific parts of the code and giving instructions.

In passive mode, the AI directly reads requirements from tools like Jira, and automatically implements the code.However, it's important to note that while M9 Developer enhances productivity, it does not completely replace the need for human developers.

It's a tool designed to assist, not eliminate human intervention, particularly in managing complex architecture and design problems.

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Pricing

Pricing model
Freemium
Paid options from
$15/month
Billing frequency
Monthly
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M9 Developer was manually vetted by our editorial team and was first featured on January 27th 2025.

Pros and Cons

Pros

Automates 95% of dev tasks
Optimizes software development lifecycle
Contextual code understanding
Generates and fixes code
Automates unit & integration tests
Perform secure coding scans
Detects and fixes bugs
Explains code
Provides quality checks
Generates test cases
Automates code documentation
Performs security audits
Optimizes code performance
Active and passive modes
Reads requirements from Jira
Tailored to company context
Remains within user environment
Ensures code and data privacy
Can run on GPU notebook
Offers on-premises solution
Available as self-hosted web app
Does not replace human intervention
Manages complex architecture
Addresses design problems
Automatically implements tasks
Scans for vulnerabilities
Analyzes for performance improvements
Understands organizational needs
Safe deployment in VPC
Keeps code within VPC
Installation on org's VPC
Dev review before production
Guided by developer instructions
Enhances productivity
Code quality improvement
Companies' tribal knowledge utilization
Adopts company's coding style
Retrains with company data
Enhances code reliability
Improves maintainability of code
Contributes to robustness of code

View 36 more pros

Cons

Requires human intervention
May introduce erroneous codes
Tailored to company's context
Requires setup in environment
Limited to existing IDE
Potentially disruptive workflow changes
Adaption resistance from developers
Potentially slow response time
Requires GPU-enabled notebook
On-premise set up costs

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7 alternatives to M9 Developer for Coding

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Q&A

What is M9 Developer?
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How does M9 Developer enhance software development?
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How does M9 Developer ensure data security?
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